COVID-19 infection characteristics and outcomes in a predominantly Latino community hospital.

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has rapidly spread worldwide and claimed millions of lives. Several studies have attempted to understand the relationship between COVID-19 infection and health disparities. The aim of the current work was to evaluate the pre-admission health characteristics, symptomatology, diagnostic abnormalities, treatment measures and clinical outcomes of the community served by our institution, with a sub-analysis of our Hispanic community.

Association of serum potassium derangements with mortality among patients requiring continuous renal replacement therapy.

Introduction: We aimed to assess the association between serum potassium and mortality in patients receiving continuous renal replacement therapy (CRRT).

Methods: We studied 1279 acute kidney injury patients receiving CRRT in a tertiary referral hospital in the United States. We used logistic regression to assess the association of serum potassium before CRRT and mean serum potassium during CRRT with 90-day mortality after CRRT initiation, using serum potassium 4.

In-hospital mortality of hepatorenal syndrome in the United States: Nationwide inpatient sample.

Background: Hepatorenal syndrome (HRS) is a life-threatening condition among patients with advanced liver disease. Data trends specific to hospital mortality and hospital admission resource utilization for HRS remain limited.

Aim: To assess the temporal trend in mortality and identify the predictors for mortality among hospital admissions for HRS in the United States.

Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering.

Background: We aimed to cluster patients with acute kidney injury at hospital admission into clinically distinct subtypes using an unsupervised machine learning approach and assess the mortality risk among the distinct clusters.

Methods: We performed consensus clustering analysis based on demographic information, principal diagnoses, comorbidities, and laboratory data among 4289 hospitalized adult patients with acute kidney injury at admission. The standardized difference of each variable was calculated to identify each cluster's key features.